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Wikipedia traffic data and electoral prediction: towards theoretically informed models

Overview of attention for article published in EPJ Data Science, June 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#13 of 453)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
11 news outlets
blogs
3 blogs
twitter
112 X users
googleplus
1 Google+ user
video
1 YouTube creator

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
59 Mendeley
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Title
Wikipedia traffic data and electoral prediction: towards theoretically informed models
Published in
EPJ Data Science, June 2016
DOI 10.1140/epjds/s13688-016-0083-3
Authors

Taha Yasseri, Jonathan Bright

X Demographics

X Demographics

The data shown below were collected from the profiles of 112 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Switzerland 1 2%
Unknown 57 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 22%
Researcher 9 15%
Student > Ph. D. Student 9 15%
Student > Bachelor 6 10%
Student > Doctoral Student 2 3%
Other 9 15%
Unknown 11 19%
Readers by discipline Count As %
Social Sciences 25 42%
Computer Science 8 14%
Business, Management and Accounting 4 7%
Physics and Astronomy 4 7%
Psychology 4 7%
Other 4 7%
Unknown 10 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 170. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 January 2023.
All research outputs
#240,497
of 25,595,500 outputs
Outputs from EPJ Data Science
#13
of 453 outputs
Outputs of similar age
#4,757
of 370,145 outputs
Outputs of similar age from EPJ Data Science
#1
of 8 outputs
Altmetric has tracked 25,595,500 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 453 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.9. This one has done particularly well, scoring higher than 97% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 370,145 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them